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    课堂形态演进:迈向大数据支持的 大规模个性化教学

    Evolution of Classroom Form: Towards Large-scale Personalized Teaching Supported by Big Data

【作      者】:

吴南中, 夏海鹰, 黄 娥


【关 键 词 】:

大规模个性化教学; 大数据; 课堂形态; 标准化课堂; 变革; 演进


【栏      目】:

课程与教学


【中文摘要】:

大规模个性化教学回应了社会发展对民众个性潜能充分发展的需求,但由于其与工业社会的标准化价值相悖等支持性条件的缺乏,导致其一直是悬在“教育乌托邦”里的理想。文章通过归纳与演绎,分析了课堂形态演进的基本方向。研究认为,工业时代的“标准化教学”越来越难以适应社会发展,迈进以个体适应性、价值多元性、关怀独特性、评价超越性为特征的大规模个性化教学成为课堂形态演进的趋势。大数据支持的大规模个性化教学逐渐形成新的课堂形态的核心证据体现为:(1)“大规模”与“个性化”的语义矛盾得到消解;(2)在社会发展压力中工业时代的标准价值体系逐步瓦解,为大规模个性化教学的课堂形态形成提供了发展土壤;(3)信息技术快速嵌入课堂瓦解了客观、机械、封闭、稳定、严密的标准化课堂,促成了大规模个性化教学的萌芽;(4)支持大规模个性化教学的技术条件也逐渐完善。


【英文摘要】:

Large-scale personalized teaching responds to the demand of social development for the full development of people's personality potential. However, due to the lack of supporting conditions that contradict the standardized value of industrial society, it has always been an ideal hanging in the "educational utopia". Through induction and deduction, this paper analyzes the basic direction of the evolution of classroom form. It is believed that the "standardized teaching" in the industrial era is increasingly difficult to adapt to social development, and the large-scale personalized teaching characterized by individual adaptability, diversity of values, uniqueness of care, and transcendence of evaluation has become the trend of the evolution of classroom form. The core evidence that large-scale personalized teaching supported by big data has gradually generated a new classroom form is as follows: (1) the semantic contradiction between "large-scale" and "personalized" is resolved. (2) Under the pressure of social development, the standard value system in the industrial era is gradually disintegrating, which provides the development ground for the formation of large-scale personalized classroom forms. (3)The rapid embedding of information technology in the classroom disintegrates the objective, mechanical, closed, stable, and rigorous standardized classrooms, and promotes the budding of large-scale personalized teaching. (4) The technical conditions for supporting large-scale personalized teaching are also gradually improved.

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